National Repository of Grey Literature 263 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Multiagentní systém pro řízení subsystému Smart Home
Pločica, Peter ; Zbořil, František (referee) ; Janoušek, Vladimír (advisor)
In today’s world, technology has become an essential part of practically every person’s life. The development in technology has led to the creation of Smart Home. The advancement in artificial intelligence has resulted in the emergence of multi-agent systems, which is the focus of this work. The aim of this work was to create a multi-agent system to control the subsystem of Smart Home, which can lead to better integration of devices from different companies and better handling of more demanding operations. The work includes topic of Smart Home, which is related to the concept of ambient intelligence and the topic of multi-agent systems. Furthermore, the work includes the design of this system and a detailed description of its implementation, specifically the agents in the system. Finally, the functionality of the system is tested and the results are also part of the work.
Playing the Board Game Stratego by Computer
Irovský, Dominik ; Šátek, Václav (referee) ; Zbořil, František (advisor)
The topic of this thesis is the board game of Stratego. This game features incomplete information. The goal of this thesis is research of existing game playing algorithms and, design and implementation of new solution. For the new solution modified version of Monte Carlo Tree Search as well as alfa-beta algorithm and expectimax were used. The solution was implemented as a console application with possibility of future expansion. Functionality of the solution was validated and tested using experiments. Effectivity of the final algorithm was satisfying
Overview of Nature-Inspired Optimization Algorithms
Jendrálová, Martina ; Zbořil, František (referee) ; Zbořil, František (advisor)
The aim of this work was to investigate and compare the efficiency of four nature-inspired optimization algorithms in finding function extremes on various test functions. The algorithms included the cat swarm optimization algorithm, social-emotional optimization algorithm, dolphin echolocation algorithm, and harmony search algorithm. The chosen test functions for extreme searching were Rosenbrock function, Griewank function, and Rastrigin function. The work includes descriptions of individual experiments and evaluates the success of these algorithms in finding function extremes.
Multiagentní systém pro řízení subsystému Smart Home
Pločica, Peter ; Zbořil, František (referee) ; Janoušek, Vladimír (advisor)
In today’s world, technology has become an essential part of practically every person’s life. The development in technology has led to the creation of Smart Home. The advancement in artificial intelligence has resulted in the emergence of multi-agent systems, which is the focus of this work. The aim of this work was to create a multi-agent system to control the subsystem of Smart Home, which can lead to better integration of devices from different companies and better handling of more demanding operations. The work includes topic of Smart Home, which is related to the concept of ambient intelligence and the topic of multi-agent systems. Furthermore, the work includes the design of this system and a detailed description of its implementation, specifically the agents in the system. Finally, the functionality of the system is tested and the results are also part of the work.
Multiagentní systém učící se maximalizovat komfort uživatelů v rámci Smart Home
Čábela, Radek ; Zbořil, František (referee) ; Janoušek, Vladimír (advisor)
This thesis comes with a solution, how to work with feedback, Smart Home devices and "agents" in a way that minimizes direct Smart Home parameters changes coming from house inhabitants and therefore increases their comfort. Resulting simulation demonstrating the funcionality of the system design is focused on problematics regarding changing temperature inside of a house.
Detection of Fake News Using Machine Learning
Koreň, Matej ; Zbořil, František (referee) ; Hříbek, David (advisor)
This thesis focuses on the use of machine learning in fake news detection. For this purpose, four models have been selected – Bayesian, Decision Tree, Support Vector Machine and a Neural Network. In five experiments on various datasets, these models were trained, tested, evaluated and compared with state-of-the-art methods. Final implementation is in the form of a Python package, which allows it’s users to replicate this procedure with their own data. Beyond the assignment, Slovak dataset Dezinfo SK was created.
Program for Automatic Playing of Solitaire and Mines
Přikryl, Stanislav ; Zbořil, František (referee) ; Rozman, Jaroslav (advisor)
The goal of this work is to design, then implement, and finally test a program that will automatically play the games Solitaire Klondike and Minesweeper. This goal was achieved using the Python programming language. We were able to create a program that is able to play the game of Minesweeper with a 91\% success rate of completing the game without stepping on a mine, and a program that is able to play the game of Solitaire Klondike, decide which move to use next, and if the game has a solution, successfully complete the game. The results of this work allow the reader to better understand the issues of both games and the problems that must be addressed during the implementation of a program that is intended to be used to play the games automatically. This thesis also outlines for the reader the various techniques that can be used when implementing a similar program.
Travelling Salesman Problem
Řezníček, Jan ; Zbořil, František (referee) ; Zbořil, František (advisor)
The work focuses on implementing algorithms that solve the Traveling Salesman Problem. It also includes a user interface with a map for importing locations. The main algorithms that are part of the work are ACO and an algorithm that I have devised and implemented. ACO optimization improves results, such as setting initial pheromone levels using the nearest neighbor algorithm. My algorithm works on the principle of gradually improving the path.
Multiagentní systém učící se maximalizovat komfort uživatelů v rámci Smart Home
Bednařík, Radim ; Zbořil, František (referee) ; Janoušek, Vladimír (advisor)
This thesis is focused on creating a multi-agent system for a smart home heating subsystem that tries to learn user patterns, using a reinforcement learning algorithm. The thesis further describes the creation of the necessary modules, which are a digital thermostatic valve, which appears in the system as an end agent, and a module for detecting the presence of people. The created system was deployed in a real environment and is functional.
The Fuzzy Orderings and Their Applications
Tomason, Viktoryia ; Zbořil, František (referee) ; Hliněná, Dana (advisor)
The work deals with the issue of fuzzy relations and fuzzy ordering. We study the properties of the weighed graphs from the point of view of transitive closures of fuzzy relations.

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